Modeling the magneto- rheological damper using recurrent neural network method / Muhammad Afiq Naquiddin Abd Rahman
Material type:
TextPublication details: Kuantan, Pahang : UMP, 2012Description: xiv, 47 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN: - THE0007373(Local)
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Final Year Report
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UMPLIB PEKAN | TL574.S7 A35 2012 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000069762 | ||
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Final Year Report
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UMPLIB PEKAN | CD 6632 | TL574.S7 A35 2012 rs Bc. (Browse shelf(Opens below)) | 1 | Not for loan | 0000069763 |
Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2012
Bibliography : p. 46-47
This thesis is study about modeling the Magnetorheological damper using Recurrent Neural Network method. Five different values of current were used in order to modeling the MR damper, which are 0.0 ampere, 0.5 ampere, 1.0 ampere, 1.5 ampere and 2.0 ampere. In order to modeling the MR damper, the graph of simulation damper will be compared with the experimental damper. The results will get the Square Error for the simulation damper. Then, the Root Mean Square Error will be calculated to get the difference between the simulation damper and experimental damper. The results show that the lowest RMSE for the simulation damper were value 0.4008, while the highest RMSE is 1.9882. From the results also, the better current value to modeling the MR damper is using the MR damper with the lowest RMSE.